Philipp Fürnstahl

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Fürnstahl trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Karen Simonyan
  3. Yarin Gal
  4. Andrew Zisserman
  5. Zhizhong Li
  6. Alex Krizhevsky
  7. Oriol Vinyals
  8. Olaf Ronneberger
  9. Yoshua Bengio
  10. Leon A. Gatys

Who trusts Philipp Fürnstahl overall

  1. Fabio Cermelli
  2. Marc Masana
  3. Yingchao Feng

Papers from Philipp Fürnstahl's perspective

Ordered by how strongly the researchers Philipp Fürnstahl trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers